DocumentCode
1991142
Title
A Jacobi Method for Lattice Basis Reduction
Author
Qiao, Sanzheng
Author_Institution
Dept. of Comput. & Software, McMaster Univ., Hamilton, ON, Canada
fYear
2012
fDate
27-30 May 2012
Firstpage
1
Lastpage
4
Abstract
Lattice reduction aided decoding has been successfully used in wireless communications. In this paper, we propose a Jacobi method for lattice basis reduction. Jacobi method is attractive, because it is inherently parallel. Thus high performance can be achieved by exploiting multiprocessor and/or multicore architectures. We also present our experimental results on the convergence of our method and the comparison with the LLL algorithm, a lattice basis reduction method widely used in wireless communication applications.
Keywords
Jacobian matrices; decoding; microprocessor chips; radio networks; Jacobi method; LLL algorithm; lattice basis reduction; lattice reduction aided decoding; multicore architectures; multiprocessor architectures; wireless communication applications; Cryptography; Jacobian matrices; Lattices; Maximum likelihood decoding; Signal processing algorithms; Vectors; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location
Xian
Print_ISBN
978-1-4577-1965-3
Type
conf
DOI
10.1109/SCET.2012.6342057
Filename
6342057
Link To Document